Model as a Service
Model as a Service (MaaS) means accessing an AI model via the cloud (API or platform) instead of hosting it yourself. You pay for usage; the provider handles infrastructure, updates, and scaling.
In Simple Terms
Think of it as renting a power plant instead of building one: you get the output without owning the machinery.
Detailed Explanation
MaaS reduces the need to buy GPUs, manage deployments, or retrain base models. Providers offer pre-trained or fine-tuned models for language, vision, embedding, and more. Trade-offs include cost at scale, data residency, and dependence on the provider's availability and policies. Many organizations start with MaaS for speed and flexibility and consider self-hosting or hybrid only when usage, compliance, or cost justifies it.
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